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Until not too long ago, the neu robiolog ical model that has dom inated our view on the neu ral archi tecture of langu age was the Wernic ke-Lichth eim-Gesch windmode l. In this cl assical mode l, the...
During sentence level language comprehension, semantic and syntactic unification are functionally distinct operations. Nevertheless, both recruit roughly the same brain areas (spatially overlapping ...
Shieber's abstract parsing algorithm (Shieber 1992) for unification grammars is an extension of Earley's algorithm (Earley 1970) for context-free grammars to feature structures. In this paper, we show...
D-PATR:A Development Environment for Unification-Based Grammars.
Morphology is the aspect of language concerned with the internal structure of words. In the past decades, a large body of masked priming (behavioral and neuroimaging) data has suggested that the visua...
A neurobiological model of language is discussed that overcomes the shortcomings of the classical Wernicke-Lichtheim-Geschwind model. It is based on a subdivision of language processing into three com...
Semantic unification, the process by which small blocks of semantic information are combined into a coherent utterance, has been studied with various types of tasks. However, whether the brain activat...
There is growing evidence suggesting that synchronization changes in the oscillatory neuronal dynamics in the EEG or MEG reflect the transient coupling and uncoupling of functional networks related to...
In a recent fMRI study we showed that left posterior middle temporal gyrus (LpMTG) subserves the retrieval of a word's lexical–syntactic properties from the mental lexicon (long-term memory), while le...
When interpreting a message, a listener takes into account several sources of linguistic and extralinguistic information.Here we focused on one particular form of extralinguistic information, certain ...
We introduce a novel computer implementation of the Unification-Space parser (Vosse and Kempen in Cognition 75:105–143, 2000) in the form of a localist neural network whose dynamics is based on intera...

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